When all learners are driven by fairness and efficiency, it may not be surprising that the resulting learning dynamics can lead to socially favorable outcomes. Remarkably, however, similar outcomes already arise when only one learner has these objectives. Across a wide range of games, including the repeated prisoner's dilemma, the stag hunt [1]}, the snowdrift [2]}, and the battle of the sexes game [3]}, FMTL players tend to settle at equilibria that are both individually optimal and socially efficient (or at least approximately so), even when interacting with selfish opponents.
